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The researchers work is an update on a similar report that the Center for Data Innovation published in 2019, and aggregates metrics from all three regions across six AI-related categories – talent, research, development, hardware, adoption and data. The type of information compiled stretches from total amounts of cash splashed on AI firms, to the proportion of AI researchers compared to the total population, through the number of supercomputers that each country can claim in the top500 list.  SEE: (TechRepublic Premium) One of the biggest differentiators, finds the report, is money. AI start-ups in the US, at the end of 2019, had received over $14 billion in funding from VCs and private equity firms – a whole $8 billion more than China, and far more than EU startups could boast that same year ($3.2 billion). 

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